COMMENTS

COMMENTS
2002-04-01 00:00:00
I have analyzed a reconstruction of the LCH data Comments on by Hartmann and Michelsen (2002), from which, after removin g long-period trends in A and T, and "Does the Earth Have accounting for disposable degrees of freedom (dof)> an Adaptive Infrared Iris?" I get: —HALSTEA D HARRISON dof ^ 50 ± 20 effective degrees of freedom, Department of Atmospheric Sciences, fractional cloud-cover University of Washington, Seattle, Washington B/<A> « -9% ± 6% decrease per °C, fractional variance attribut- R 2 * 0.04 ±0.0 4 able to the model, or indzen et al. (2001, hereafter LCH) report an inverse relationship between indices of sea with 90% confidence, by tf. 0.03 <R 2 < 0.06 surface temperatures (T) and fractional cloud- Lcoverage area index (A) in the tropical Pacific. It is not common that new discoveries of physics may They cite a linear least squares regression of the data confidently be inferred from variance attributions this shown in their Fig. 5a, in the form small, nor uncertainties this large. An additional problem is revealed by the cospectrum of the A'T' series, where more than 70% A(i) = Ao + (B)[T(i)] i = 1 to 511 nondefault days (1) of the
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Abstract

I have analyzed a reconstruction of the LCH data Comments on by Hartmann and Michelsen (2002), from which, after removin g long-period trends in A and T, and "Does the Earth Have accounting for disposable degrees of freedom (dof)> an Adaptive Infrared Iris?" I get: —HALSTEA D HARRISON dof ^ 50 ± 20 effective degrees of freedom, Department of Atmospheric Sciences, fractional cloud-cover University of Washington, Seattle, Washington B/<A> « -9% ± 6% decrease per °C, fractional variance attribut- R 2 * 0.04 ±0.0 4 able to the model, or indzen et al. (2001, hereafter LCH) report an inverse relationship between indices of sea with 90% confidence, by tf. 0.03 <R 2 < 0.06 surface temperatures (T) and fractional cloud- Lcoverage area index (A) in the tropical Pacific. It is not common that new discoveries of physics may They cite a linear least squares regression of the data confidently be inferred from variance attributions this shown in their Fig. 5a, in the form small, nor uncertainties this large. An additional problem is revealed by the cospectrum of the A'T' series, where more than 70% A(i) = Ao + (B)[T(i)] i = 1 to 511 nondefault days (1) of the

Journal

Bulletin of the American Meteorological Society
– American Meteorological Society